Client relationships are now nurtured through more frequent, contact that will help you to better understand client needs. Building and maintaining these relationships requires up-to-date and accurate data lists.
It is acknowledged that the size and complexity of databases is increasing exponentially and with this growth, the number of errors in the data increases and the errors become harder to trace. Organisations need to combine business rules, validation techniques and procedures to create an enterprise-wide solution to cleanse the data. Proactive management of data lists is critical to sales and marketing success.
How do companies accurately identify customers and does it make a difference? Specialised data skills allow organisations to identify qualified customers accurately thereby reducing the cost of sale significantly.
Accurate and up-to-date data lists reduce the risk of ‘dirty’ data that result in customers receiving duplicate communications from the sales force. Irreversible damage to the company’s brand and profit margins can be avoided by maintaining customer goodwill.
Cost-of-sales and marketing can be very expensive, especially if your sales force is duplicating the effort because of poor data lists. Poor data costs businesses billions of rands annually in wasted sales effort and marketing costs. Removing dirty data can yield significant savings annually for organisations.
Quality data lists are the most important steps a company can take in achieving an accurate view of their customers. Clean data is a requisite for any industry sector, be it financial, entertainment, publishing, health services, etc.